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IROS
2008
IEEE
138views Robotics» more  IROS 2008»
13 years 11 months ago
Approximating information content for active sensing tasks using the unscented transform
— This paper presents an approach to approximate information content for active sensing tasks. The Unscented Transform is used to represent probability distributions by a set of ...
Eric W. Frew
IV
2008
IEEE
99views Visualization» more  IV 2008»
13 years 11 months ago
Visualization Enhanced Semantic Wikis for Patent Information
In this paper we present a new approach for using semantic wikis for collaborative patent search and annotation. We describe an extension that allows integrating interactive visua...
Mark Giereth, Thomas Ertl
MIR
2006
ACM
178views Multimedia» more  MIR 2006»
13 years 10 months ago
Dual diffusion model of spreading activation for content-based image retrieval
This paper introduces a content-based information retrieval method inspired by the ideas of spreading activation models. In response to a given query, the proposed approach comput...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
NIPS
2008
13 years 6 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
IJCNN
2000
IEEE
13 years 9 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen